Eric Elmoznino

17 papers A* 5Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Compression Perspective on Simplicity Bias. CoRR Tom Marty, Eric Elmoznino, Léo Gagnon, Tejas Kasetty, Mizu Nishikawa-Toomey, Sarthak Mittal, Guillaume Lajoie, Dhanya Sridhar
2025	A*	`conf`	Does learning the right latent variables necessarily improve in-context learning? ICML Sarthak Mittal, Eric Elmoznino, Léo Gagnon, Sangnie Bhardwaj, Guillaume Lajoie, Dhanya Sridhar
2025	J	`jnl`	Engineering Sentience. CoRR Konstantin Demin, Taylor W. Webb, Eric Elmoznino, Hakwan Lau
2025	A*	`conf`	In-Context Learning and Occam's Razor. ICML Eric Elmoznino, Tom Marty, Tejas Kasetty, Léo Gagnon, Sarthak Mittal, Mahan Fathi, Dhanya Sridhar, Guillaume Lajoie
2025	A*	`conf`	Multi-agent cooperation through learning-aware policy gradients. ICLR Alexander Meulemans, Seijin Kobayashi, Johannes von Oswald, Nino Scherrer, Eric Elmoznino, Blake Aaron Richards, Guillaume Lajoie, Blaise Agüera y Arcas, João Sacramento
2025	J	`jnl`	Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective. CoRR Léo Gagnon, Eric Elmoznino, Sarthak Mittal, Tom Marty, Tejas Kasetty, Dhanya Sridhar, Guillaume Lajoie
2025	A*	`conf`	Towards a Formal Theory of Representational Compositionality. ICML Eric Elmoznino, Thomas Jiralerspong, Yoshua Bengio, Guillaume Lajoie
2024	J	`jnl`	A Complexity-Based Theory of Compositionality. CoRR Eric Elmoznino, Thomas Jiralerspong, Yoshua Bengio, Guillaume Lajoie
2024	A*	`conf`	Amortizing intractable inference in large language models. ICLR Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin
2024	J	`jnl`	Does learning the right latent variables necessarily improve in-context learning? CoRR Sarthak Mittal, Eric Elmoznino, Léo Gagnon, Sangnie Bhardwaj, Dhanya Sridhar, Guillaume Lajoie
2024	J	`jnl`	High-performing neural network models of visual cortex benefit from high latent dimensionality. PLoS Comput. Biol. Eric Elmoznino, Michael F. Bonner
2024	J	`jnl`	In-context learning and Occam's razor. CoRR Eric Elmoznino, Tom Marty, Tejas Kasetty, Léo Gagnon, Sarthak Mittal, Mahan Fathi, Dhanya Sridhar, Guillaume Lajoie
2024	J	`jnl`	Multi-agent cooperation through learning-aware policy gradients. CoRR Alexander Meulemans, Seijin Kobayashi, Johannes von Oswald, Nino Scherrer, Eric Elmoznino, Blake A. Richards, Guillaume Lajoie, Blaise Agüera y Arcas, João Sacramento
2023	J	`jnl`	Amortizing intractable inference in large language models. CoRR Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin
2023	J	`jnl`	Consciousness in Artificial Intelligence: Insights from the Science of Consciousness. CoRR Patrick Butlin, Robert Long, Eric Elmoznino, Yoshua Bengio, Jonathan Birch, Axel Constant, George Deane, Stephen M. Fleming, Chris Frith, Xu Ji, Ryota Kanai, Colin Klein, Grace Lindsay, Matthias Michel, Liad Mudrik, Megan A. K. Peters, Eric Schwitzgebel, Jonathan Simon, Rufin VanRullen
2023	J	`jnl`	Discrete, compositional, and symbolic representations through attractor dynamics. CoRR Andrew Nam, Eric Elmoznino, Nikolay Malkin, Chen Sun, Yoshua Bengio, Guillaume Lajoie
2023	J	`jnl`	Sources of Richness and Ineffability for Phenomenally Conscious States. CoRR Xu Ji, Eric Elmoznino, George Deane, Axel Constant, Guillaume Dumas, Guillaume Lajoie, Jonathan Simon, Yoshua Bengio